In financial distress studies selection of variable is commonly basedon the success of variables in variable sets employed in earlierbankruptcy studies, suggestions in the literature or an accompanyingdata reduction in a large set of variables. If seemingly different variablesets exhibit a strong relationship then heterogeneous variable setscapture common information. Canonical correlation anal...

Some of the parameters in issues of the reality world are uncertainty. One of the uncertain problems with the qualitative parameters is economic problems such as bankruptcy problem. In this case, there is a probability of dealing with imprecise concepts including the intervals regarding the official’s viewpoint, organizations’ managers. Accordingly, this article uses the concepts of data envelo...

This paper demonstrates the important role of job displacement in the household bankruptcy decision. I develop a dynamic, forward-looking model of unemployment and bankruptcy where persistent negative income shocks increase a household’s likelihood of filing for bankruptcy both immediately and in the future. Consistent with the model’s predictions, I find that households in the NLSY are four ti...

We investigate the relative importance of various bankruptcy predictors commonly used in the existing literature by applying a variable selection technique, the least absolute shrinkage and selection operator (LASSO), to a comprehensive bankruptcy database. Over the 1980 to 2009 period, LASSO admits the majority of Campbell, Hilscher, and Szilagyi’s (2008) predictive variables into the bankrupt...

The high social costs associated with bankruptcy have spurred searches for better theoretical understanding and prediction capability. In this paper, we investigate a hybrid approach to bankruptcy prediction, using a genetic programming algorithm to construct a bankruptcy prediction model with variables from a rough sets model derived in prior research. Both studies used data from 291 US public...

Does an entrepreneur-friendly bankruptcy law encourage more entrepreneurship development at a societal level? How does bankruptcy law affect entrepreneurship development around the world? Drawing on a real options perspective, we argue that if bankrupt entrepreneurs are excessively punished for failure, they may pass potentially high-return but inherently high-risk opportunities. Amassing a lon...

Personal bankruptcy Ž lings have risen from 0.3 percent of households per year in 1984 to around 1.35 percent in 1998 and 1999, transforming bankruptcy from a rare occurrence to a routine event. Lenders lost about $39 billion in 1998 due to personal bankruptcy Ž lings. But economists have little understanding of why households Ž le for bankruptcy or why Ž lings have increased so rapidly. Until ...

After the burst of the bubble economy in 1990, the Japanese economy has been on a downward slide and many companies have been faced with financial difficulties. Hence, a certain prediction model to assess the financial distress of Japanese firms is required. This paper presents some empirical results of a study regarding financial ratios as predictors of Japanese corporate failure, evidenced by...

Previous studies about ensembles of classifiers for bankruptcy prediction and credit scoring have been presented. In these studies, different ensemble schemes for complex classifiers were applied, and the best results were obtained using the Random Subspace method. The Bagging scheme was one of the ensemble methods used in the comparison. However, it was not correctly used. It is very important...

the bankruptcy prediction models have long been proposedas a key subject in finance. the present study, therefore, makes aneffort to examine the corporate bankruptcy prediction through employmentof the genetic algorithm model. furthermore, it attempts to evaluatethe strategies to overcome the drawbacks of ordinary methods forbankruptcy prediction through application of genetic algorithms. thesa...